CN107220755B - Rapid early warning system and method for abnormal state of rigid hanger of high-speed rail arch bridge - Google Patents
Rapid early warning system and method for abnormal state of rigid hanger of high-speed rail arch bridge Download PDFInfo
- Publication number
- CN107220755B CN107220755B CN201710360603.6A CN201710360603A CN107220755B CN 107220755 B CN107220755 B CN 107220755B CN 201710360603 A CN201710360603 A CN 201710360603A CN 107220755 B CN107220755 B CN 107220755B
- Authority
- CN
- China
- Prior art keywords
- suspender
- service state
- transverse
- data
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 52
- 230000002159 abnormal effect Effects 0.000 title claims abstract description 40
- 238000011156 evaluation Methods 0.000 claims abstract description 48
- 238000004364 calculation method Methods 0.000 claims abstract description 11
- 230000005540 biological transmission Effects 0.000 claims abstract description 10
- 230000008859 change Effects 0.000 claims description 43
- 238000005452 bending Methods 0.000 claims description 30
- 230000007613 environmental effect Effects 0.000 claims description 20
- 238000006073 displacement reaction Methods 0.000 claims description 19
- 239000000725 suspension Substances 0.000 claims description 14
- 238000012544 monitoring process Methods 0.000 claims description 12
- 230000007774 longterm Effects 0.000 claims description 8
- 238000005259 measurement Methods 0.000 claims description 5
- 230000036541 health Effects 0.000 claims description 4
- 238000000611 regression analysis Methods 0.000 claims description 2
- 230000005856 abnormality Effects 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 4
- 238000000605 extraction Methods 0.000 description 3
- 238000007781 pre-processing Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01D—CONSTRUCTION OF BRIDGES, ELEVATED ROADWAYS OR VIADUCTS; ASSEMBLY OF BRIDGES
- E01D19/00—Structural or constructional details of bridges
-
- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01D—CONSTRUCTION OF BRIDGES, ELEVATED ROADWAYS OR VIADUCTS; ASSEMBLY OF BRIDGES
- E01D4/00—Arch-type bridges
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Structural Engineering (AREA)
- Civil Engineering (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Architecture (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Quality & Reliability (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
- Bridges Or Land Bridges (AREA)
Abstract
本发明提供了一种高铁拱桥刚性吊杆异常状态快速预警系统及其方法，包括振动数据采集与传输子系统、数据计算与分析子系统和快速预警子系统。振动数据采集与传输子系统由安装在高铁拱桥结构上的传感器和数据传输线路组成；数据计算与分析子系统基于不同的服役状态评估指标对吊杆实测数据进行计算和分析，与使用吊杆正常服役状态下的实测数据建立的各标准服役状态子库的预警阈值或预警包络线进行对比，快速评定吊杆的服役状态；发现吊杆异常后，快速预警子系统采用警报灯开启、手机报警电话或短信等方式向管理人员报警。本发明可监测高铁拱桥刚性吊杆服役状态，及时发现其异常并报警，对高铁拱桥刚性吊杆安全服役及高铁列车安全运行具有重要意义。
The invention provides a rapid warning system and a method for the abnormal state of a rigid hanger of a high-speed railway arch bridge, including a vibration data acquisition and transmission subsystem, a data calculation and analysis subsystem, and a rapid early warning subsystem. The vibration data acquisition and transmission subsystem consists of sensors and data transmission lines installed on the high-speed rail arch bridge structure; the data calculation and analysis subsystem calculates and analyzes the measured data of the boom based on different service state evaluation indicators, which is the same as using the boom normally. The early warning thresholds or early warning envelopes of each standard service state sub-library established by the measured data in the service state are compared to quickly assess the service state of the boom; after the boom is found to be abnormal, the rapid warning subsystem uses the alarm light to turn on and the mobile phone to give an alarm. Call or text message to the management personnel. The present invention can monitor the service state of the rigid hanger of the high-speed rail arch bridge, detect its abnormality in time and give an alarm, and is of great significance to the safe service of the rigid hanger of the high-speed rail arch bridge and the safe operation of the high-speed train.
Description
Technical Field
The invention belongs to the technical field of health monitoring of bridge engineering structures, and particularly discloses a system and a method for quickly warning abnormal states of a rigid suspender of a high-speed railway arch bridge.
Background
The high-speed railway in China has been vigorously developed in recent years, and the construction speed and scale are the most important in the world. By the end of 2016, the operating mileage of the Chinese high-speed railway exceeds 2.2 kilometers. The high-speed train has the characteristics of large transportation capacity, high transportation speed, fixed running track and the like, and has important economic and strategic significance; therefore, it is necessary to pay attention to the service safety of the high-speed rail and its subsidiary facilities. As an important infrastructure for high-speed railways to cross rivers and valleys, China builds a large number of large-span high-speed railway bridges. In order to ensure the high-speed and safe operation of the high-speed train and avoid accidents, a set of quick early warning system for the abnormal service state of the high-speed railway arch bridge and key components thereof needs to be researched.
The rigid suspender arch bridge is increasingly used in a large-span high-speed railway bridge due to good lateral rigidity, the rigid suspender is one of key stress components, and under the combined action of train load, temperature, wind, local wind caused by running of a high-speed train and the like, an abnormal service state which influences the running safety of the high-speed train may occur in service. The abnormal state of the rigid suspender can be timely found at the initial stage of the abnormal state of the rigid suspender, and the method has important significance for ensuring the running safety of the rigid suspender of the high-speed railway arch bridge and the high-speed railway train.
At present, related researches on a method and a system for quickly warning the abnormal state of a rigid suspender of a high-speed railway arch bridge are not common. The invention provides a quick early warning method for the abnormal state of a rigid suspender based on structural health monitoring data of a high-speed railway arch bridge, which can find the abnormal service state of the rigid suspender in time and give an alarm and is beneficial to ensuring the normal service of the rigid suspender and the safe operation of a train.
Disclosure of Invention
The invention provides a rapid early warning method for an abnormal state of a rigid suspender of a high-speed railway arch bridge, and establishes a rapid early warning system for the abnormal state of the rigid suspender of the high-speed railway arch bridge based on the method, which is used for ensuring the normal service of the rigid suspender of the high-speed railway arch bridge and the running safety of a high-speed railway train.
The technical scheme of the invention is as follows:
a high-speed railway arch bridge rigid suspender abnormal state rapid early warning system and a method thereof, wherein the system comprises a vibration data acquisition and transmission subsystem, a data calculation and analysis subsystem and a rapid early warning subsystem; the vibration data acquisition and transmission subsystem consists of a sensor and a data transmission line which are arranged on a high-speed railway arch bridge structure; the data calculation and analysis subsystem carries out calculation and analysis based on a standard service state library established by measured data of the hanger rod in a normal service state, and rapidly evaluates the service state of the hanger rod; after the abnormal state of the suspender is found, the quick early warning subsystem calls the early warning module to alarm the bridge manager in a mode of turning on an alarm lamp, dialing an alarm call to the manager or sending an alarm short message.
The method for quickly warning the abnormal state of the rigid suspender of the high-speed railway arch bridge comprises two stages: the method comprises the following steps of establishing a standard service state library of a suspender and quickly early warning the abnormal state of the suspender:
selecting actual measurement data of one or two years before the bridge is built as actual measurement data of the normal service state of the suspender to build a standard service state library of the suspender;
the method for establishing the standard service state library of the suspender comprises the following steps:
acquiring the transverse displacement of a rigid suspender to be monitored of a high-speed railway arch bridge, the transverse strain of two sides of the section of the rigid suspender and the temperature of the same arch of the rigid suspender, and transmitting the acquired data to a data calculation and analysis subsystem in a computer;
step two, taking the variation amplitude of the transverse dynamic bending moment of the non-vehicle suspender and the variation amplitude of the transverse outer dynamic strain of the non-vehicle suspender as the service state evaluation indexes of the suspender, respectively defining the variation amplitude of the transverse dynamic bending moment or the transverse outer dynamic strain of the non-vehicle suspender as the average value of the first x maximum values in the absolute values of the variation values of the transverse dynamic bending moment or the transverse outer dynamic strain data relative to the average value of the non-vehicle transverse dynamic bending moment or the transverse outer dynamic strain data, and determining x according to the following rules: is provided with x1The absolute value of the change value of the data point of the transverse dynamic bending moment or the transverse outside dynamic strain of the suspension rod with the value more than or equal to 99 percent when the vehicle is not in use has x2The absolute value of the change value of the data point of the transverse dynamic bending moment or the transverse outside dynamic strain of the suspension rod without the vehicle with the value more than or equal to 99.9 percent is x1And x2An integer between is taken as x, i.e. x2＜x＜x1(ii) a The amplitude of the change of the transverse dynamic bending moment of the suspender without the vehicle is calculated according to the formula (1), wherein delta epsilon and E, I, h are respectively the transverse both-side strain variation, the elastic modulus, the section inertia moment and the section height of the cross section of the suspender：
M＝ΔεEI/h (1)
Then, considering the influence of environmental wind and temperature factors on the service state evaluation index of the suspender, and extracting the service state evaluation index of the suspender in a normal service state and specific values of various influencing factors; when the influence of the temperature on the change amplitude of the transverse outer dynamic strain of the non-vehicle suspender is analyzed, the temperature data of the same side of the cross section of the suspender is extracted, and when the influence of the temperature on the change amplitude of the transverse dynamic bending moment of the non-vehicle suspender is analyzed, the temperature data of the two transverse sides of the suspender is extracted and the average value of the temperature data is obtained;
step three, in order to clearly describe the influence of certain factors in temperature and environmental wind on the service state evaluation index of a certain component, firstly eliminating the interference of other factors: when the temperature changes at 1 ℃ above and below a certain temperature, the influence of the temperature factor is considered to be ignored, and the numerical value is defined as a difference interval value; calculating the ratio of the amplitude of the transverse dynamic displacement of the suspension rod when the vehicle exists or not, and the ratio is called the ratio of the amplitude of the change for short; when a vehicle passes, the amplitude of the change of the transverse dynamic displacement of the suspender is the maximum absolute change value of the transverse dynamic displacement of the suspender during one-time passing; the transverse dynamic displacement change amplitude of the suspension rod when no vehicle is in a vehicle state is the average value of the front y maximum values in the absolute value of the change value of the transverse dynamic displacement data relative to the average value of the transverse dynamic displacement data when no vehicle is in a vehicle state, and the selection criterion of y is as follows: is provided with y1The absolute value of the change value of the transverse dynamic displacement data point of the suspension rod without the vehicle with the value more than or equal to 99 percent has y2The absolute value of the data point change value of the transverse dynamic displacement data point of the suspension rod when the value is more than or equal to 99.9 percent of the data point change value of the suspension rod without the vehicle is determined in y1And y2Any integer therebetween as y, i.e. y2＜y＜y1(ii) a When the ratio of the change amplitudes is larger than 10, the influence of the environmental wind on the transverse vibration amplitude of the suspender is small and similar, and the influence of the environmental wind factor is eliminated;
establishing different standard service state sublibraries of the rigid suspender of the high-speed railway arch bridge based on different service state evaluation indexes by utilizing long-term monitoring data measured by the structural health monitoring system when the suspender is in a normal service state, and evaluating the service state of the rigid suspender of the high-speed railway arch bridge from different angles; considering the influence of temperature and environmental wind on the evaluation index of a certain service state of the suspender, two methods for establishing a standard service state sub-library of the rigid suspender are provided: when the standard service state sub-library of the suspender is established according to the first method, the influence of the reserved temperature on the service state evaluation index of the suspender is eliminated, and when the standard service state sub-library of the suspender is established according to the second method, the influence of the temperature and the environmental wind on the service state evaluation index of the suspender is eliminated; the two establishing methods comprise the following steps:
the first establishing method of the suspender standard service state sublibrary comprises the following steps:
(1) extracting a suspender service state evaluation index and corresponding temperature data based on the long-term monitoring data;
(2) the influence of environmental wind factors is eliminated through setting the ratio of the variable amplitude values;
(3) obtaining a specific value of the evaluation index of the service state of the suspender, which is only influenced by the temperature, and storing the specific value into a standard service state sub-library of the suspender;
the second method for establishing the standard service state sublibrary of the suspender comprises the following steps:
(1) extracting a suspender service state evaluation index and corresponding temperature data based on the long-term monitoring data;
(2) the influence of environmental wind factors is eliminated through setting the ratio of the variable amplitude values;
(3) obtaining a statistical relation of the influence of the temperature on the service state evaluation index of the suspender, and carrying out regression analysis on the statistical relation based on a least square method to obtain a fitting line of the influence of the temperature on the service state evaluation index of the suspender;
(4) and eliminating the trend of the influence of the temperature on the service state evaluation index of the suspender according to the fit line, and storing the service state evaluation index of the suspender after the trend item is removed into a standard service state sub-library of the suspender.
The method comprises the following steps of providing an early warning standard of an abnormal service state of a suspender based on an established suspender standard service state sub-library to perform quick early warning of the abnormal state of the suspender, wherein the method comprises the following steps:
step one, determining an early warning envelope line or an early warning threshold line by considering safety margin based on an established standard service state sub-library; the early warning envelope line is an envelope line with safety margin when the standard service state library of the suspender is established by adopting a first establishing method of the standard service state sub-library of the suspender, and is obtained by taking the safety margin into consideration by an outer envelope line of data points in the standard service state library of the suspender; the early warning threshold line is a threshold line with safety margin when the standard service state library of the suspender is established by adopting a second establishing method of the standard service state sub-library of the suspender, and the value of the early warning threshold line is the sum of the maximum absolute value of the data point of the standard service state library and the safety margin;
secondly, calculating the current service state evaluation index value of the corresponding rigid suspender by adopting a method the same as the service state evaluation index in the standard service state library based on the current real-time monitoring data of the high-speed railway arch bridge structure to be measured;
step three, comparing the current service state evaluation index value with a corresponding early warning envelope line or a threshold line, and if the data point of the current service state evaluation index value falls outside the early warning envelope line or the current service state evaluation index value is larger than the early warning threshold value, judging that the rigid suspender is in an abnormal service state;
and step four, once the hanger rod is found to be in an abnormal state, automatically starting the quick early warning subsystem to call the early warning module, and immediately warning by adopting a method of starting a warning lamp, dialing an alarm call to a mobile phone of a manager or sending an alarm short message, so that the manager is ensured to find the abnormal hanger rod in time and take treatment measures according to the situation.
The system has the advantages that the real service state of the suspender can be automatically evaluated on line, the abnormal state of the suspender can be found in time, the manpower can be greatly saved, the early warning efficiency is improved, and the safety service of the rigid suspender of the high-speed railway arch bridge and the driving safety of a high-speed railway train can be ensured.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
FIG. 2 is a schematic view of the arrangement of the boom and the measuring point to be monitored.
Fig. 3 is a flow chart of boom standard in-service state library establishment.
FIG. 4 is a suspender transverse dynamic bending moment standard service state sub-library and an early warning enveloping diagram thereof, which are established based on the first establishing method of the suspender standard service state sub-library.
FIG. 5 is a graph of the relationship and fit line of temperature to amplitude of change in lateral outboard dynamic strain of the hanger bar without the vehicle.
FIG. 6 is a diagram of a boom lateral outside dynamic strain standard service state sub-base and its early warning threshold value, which are established based on the second establishing method of the boom standard service state sub-base.
Fig. 7 is a flow chart of early warning of an abnormal state of a rigid suspender of a high-speed railway arch bridge.
Detailed Description
Fig. 1 is a schematic diagram of the system of the present invention, and the present invention will be further described with reference to the accompanying drawings and specific embodiments.
Taking a certain two high-speed railway arch bridges as an example, the bridge main span is provided with two train tracks and 21 suspenders; taking one suspender as an example, the specific implementation mode of the system is introduced through the quick early warning of the abnormal state of the suspender. The example boom is set to be a # 1 boom with the position and station arrangement as in figure 2.
(1) Mounting vibration data acquisition and transmission subsystem
Considering the need of acquiring the service state evaluation data of the suspender for a long time, as shown in fig. 2, transverse displacement measuring points are arranged on the transverse outer side of the 1# suspender, strain measuring points are respectively arranged on the transverse two sides of the cross section of the 1# suspender, and temperature measuring points are respectively arranged on the same sides of the strain measuring points; and the collected data is transmitted to the data calculation and analysis subsystem.
(2) Determining jib service state evaluation index
According to the vibration characteristic of the rigid hanger rod of the high-speed railway arch bridge, the transverse dynamic bending moment variation amplitude of the hanger rod without the vehicle and the transverse outer dynamic strain variation amplitude of the hanger rod without the vehicle are selected as the service state evaluation indexes of the short hanger rod for illustration. The service index extraction method of the two suspenders is as follows:
1) extraction of transverse dynamic bending moment variation amplitude of suspender during no vehicle
Firstly, preprocessing data of dynamic strain on two transverse sides of a suspender, which is acquired by strain measuring points on the suspender; then, calculating the transverse dynamic bending moment of the suspender according to the formula (1); and finally, taking the average value of the first 100 maximum absolute change values from the transverse moving bending moment of the non-vehicle lifting rod calculated before the vehicle passes once as the transverse moving bending moment change amplitude of the non-vehicle lifting rod before the vehicle passes once, wherein x is 100.
2) Extraction of dynamic strain change amplitude of transverse outer side of suspender during non-vehicle
Firstly, carrying out data preprocessing on the lateral outer dynamic strain acquired by a suspender strain measuring point; and then, extracting the transverse outer dynamic strain value of the front suspender after the vehicle passes once, and taking the average value of the first 100 maximum absolute change values as the transverse outer dynamic strain change amplitude of the front suspender without the vehicle before the vehicle passes once, wherein x is 100.
(3) Establishing a standard service state library of a suspender
Based on actual measurement data of the bridge in the previous year after the bridge is built, a 1# suspender transverse dynamic bending moment standard service state sub-library is built by using a first building method of a suspender standard service state sub-library and taking a non-vehicle suspender transverse dynamic bending moment variation amplitude as a service state evaluation index; and (3) taking the transverse outer dynamic strain change amplitude of the non-vehicle suspender as a service state evaluation index, and establishing a 1# suspender transverse outer dynamic strain standard service state sub-library by adopting a second establishing method of a suspender standard service state sub-library. The boom standard service state library establishing process is shown in fig. 3, and specifically comprises the following establishing steps:
1) establishing a 1# suspender transverse dynamic bending moment standard service state sub-warehouse
Extracting the transverse dynamic bending moment change amplitude of the suspender and corresponding temperature data when no vehicle exists based on the long-term measured data; the influence of the environmental wind is eliminated through setting the ratio of the variable amplitude values; and obtaining the variation amplitude of the transverse dynamic bending moment of the suspender without the vehicle, which is only influenced by the temperature, and storing the variation amplitude into a standard service state sublibrary of the transverse dynamic bending moment of the suspender, as shown in figure 4.
2) Establishing a 1# suspender transverse outside dynamic strain standard service state sub-library
Extracting the transverse outer side dynamic strain change amplitude of the suspender and corresponding temperature data when no vehicle exists based on the long-term measured data; the influence of environmental wind factors is eliminated through setting the ratio of the variable amplitude values; obtaining a statistical relation of the influence of the temperature on the amplitude of the dynamic strain change of the transverse outer side of the suspender without the vehicle and obtaining a fitting line of the statistical relation, as shown in figure 5; and eliminating the trend of the influence of the temperature on the change amplitude of the transverse outer side dynamic strain of the hanger rod when the vehicle is absent according to the trend removing item of the fit line, and storing the change amplitude of the transverse outer side dynamic strain of the hanger rod after the trend removing item, namely the change standard value of the transverse outer side dynamic strain of the hanger rod when the vehicle is absent into a service state sub-library of the transverse outer side dynamic strain standard of the hanger rod, as shown in figure 6.
(4) Early warning process of abnormal state of rigid suspender (fig. 7)
1) Suppose that the 1# boom is in an abnormal state due to extreme environmental effects or damage. Based on the measured data, the estimation index value of the service state of the suspender is extracted, and in the example, the estimation index value is the variation amplitude of the transverse dynamic bending moment of the suspender without vehicle or the variation amplitude of the transverse outer side dynamic strain of the suspender without vehicle.
2) The temperature and the environmental wind effect at the moment are quickly determined based on the measured data, and the corresponding boom standard service state sub-base established by two establishing methods based on the boom standard service state sub-base is called according to the factors, wherein an early warning envelope line or an early warning threshold value is determined according to 10% of safety margin in the example, which is detailed in figures 4 and 6. Meanwhile, the current suspender service state evaluation index value is calculated based on the current measured data. And comparing the current evaluation index value of the service state of the suspender with the early warning envelope line or the early warning threshold value, and finding that the data point of the currently calculated transverse dynamic bending moment change amplitude of the non-vehicle suspender falls outside the early warning envelope line and the transverse outer dynamic strain change amplitude of the non-vehicle suspender exceeds the early warning threshold value at the moment.
3) And starting the quick early warning subsystem, calling the early warning module, and enabling bridge managers to find abnormal service states of the rigid suspender in time and take corresponding measures in time by adopting a mode of starting an alarm lamp, making a call to a mobile phone of the manager or sending an alarm short message.
The method provided by the invention can monitor the service state of the rigid suspender of the high-speed railway arch bridge, discover the abnormal suspender in time and give an alarm, and has important significance for the rigid suspender of the high-speed railway arch bridge and the running safety of a high-speed railway train.
Claims (2)
1. A high-speed railway arch bridge rigid suspender abnormal state rapid early warning system and a method thereof are characterized in that the system comprises a vibration data acquisition and transmission subsystem, a data calculation and analysis subsystem and a rapid early warning subsystem; the vibration data acquisition and transmission subsystem consists of a sensor and a data transmission line which are arranged on a high-speed railway arch bridge structure; the data calculation and analysis subsystem carries out calculation and analysis based on a standard service state library established by measured data of the hanger rod in a normal service state, and rapidly evaluates the service state of the hanger rod; after the abnormal state of the suspender is found, the quick early warning subsystem calls an early warning module to give an alarm to bridge managers in a mode of turning on an alarm lamp, dialing an alarm call to the managers or sending an alarm short message;
the method for quickly warning the abnormal state of the rigid suspender of the high-speed railway arch bridge comprises two stages: the method comprises the following steps of establishing a standard service state library of a suspender and quickly early warning the abnormal state of the suspender:
selecting actual measurement data of one or two years before the bridge is built as actual measurement data of the normal service state of the suspender to build a standard service state library of the suspender;
the method for establishing the standard service state library of the suspender comprises the following steps:
acquiring the transverse displacement of a rigid suspender to be monitored of a high-speed railway arch bridge, the transverse strain of two sides of the section of the rigid suspender and the temperature of the same arch of the rigid suspender, and transmitting the acquired data to a data calculation and analysis subsystem in a computer;
step two, taking the variation amplitude of the transverse dynamic bending moment of the non-vehicle suspender and the variation amplitude of the transverse outer dynamic strain of the non-vehicle suspender as the service state evaluation indexes of the suspender, respectively defining the variation amplitude of the transverse dynamic bending moment or the transverse outer dynamic strain of the non-vehicle suspender as the average value of the first x maximum values in the absolute values of the variation values of the transverse dynamic bending moment or the transverse outer dynamic strain data relative to the average value of the non-vehicle transverse dynamic bending moment or the transverse outer dynamic strain data, and determining x according to the following rules: is provided with x1The absolute value of the change value of the data point of the transverse dynamic bending moment or the transverse outside dynamic strain of the suspension rod with the value more than or equal to 99 percent when the vehicle is not in use has x2Data point change of transverse dynamic bending moment or transverse outside dynamic strain of the suspension rod with a value of more than or equal to 99.9 percent when the vehicle is not in a driving stateAbsolute value of the value, then at x1And x2An integer between is taken as x, i.e. x2＜x＜x1(ii) a The amplitude of the change of the transverse dynamic bending moment of the suspender without the vehicle is calculated according to the formula (1), wherein delta epsilon and E, I, h respectively represent the transverse both sides strain, the elastic modulus, the section inertia moment and the section height of the section of the suspender:
M＝ΔεEI/h (1)
then, considering the influence of environmental wind and temperature factors on the service state evaluation index of the suspender, and extracting the service state evaluation index of the suspender in a normal service state and specific values of various influencing factors; when the influence of the temperature on the change amplitude of the transverse outer dynamic strain of the non-vehicle suspender is analyzed, the temperature data of the same side of the cross section of the suspender is extracted, and when the influence of the temperature on the change amplitude of the transverse dynamic bending moment of the non-vehicle suspender is analyzed, the temperature data of the two transverse sides of the suspender is extracted and the average value of the temperature data is obtained;
step three, in order to clearly describe the influence of certain factors in temperature and environmental wind on the service state evaluation index of a certain component, firstly eliminating the interference of other factors: when the temperature changes at 1 ℃ above and below a certain temperature, the influence of the temperature factor is considered to be ignored, and the numerical value is defined as a difference interval value; calculating the ratio of the amplitude of the transverse dynamic displacement of the suspension rod when the vehicle exists or not, and the ratio is called the ratio of the amplitude of the change for short; when a vehicle passes, the amplitude of the change of the transverse dynamic displacement of the suspender is the maximum absolute change value of the transverse dynamic displacement of the suspender during one-time passing; the transverse dynamic displacement change amplitude of the suspension rod when no vehicle is in a vehicle state is the average value of the front y maximum values in the absolute value of the change value of the transverse dynamic displacement data relative to the average value of the transverse dynamic displacement data when no vehicle is in a vehicle state, and the selection criterion of y is as follows: is provided with y1The absolute value of the change value of the transverse dynamic displacement data point of the suspension rod when the value is more than or equal to 99 percent without the vehicle has y2The absolute value of the data point change value of the transverse dynamic displacement data point of the suspension rod when the value is more than or equal to 99.9 percent of the data point change value of the suspension rod without the vehicle is determined in y1And y2Any integer therebetween as y, i.e. y2＜y＜y1(ii) a When the ratio of the change amplitudes is larger than 10, the influence of the environmental wind on the transverse vibration amplitude of the suspender is small and similar, and the influence of the environmental wind factor is eliminated;
establishing different standard service state sublibraries of the rigid suspender of the high-speed railway arch bridge based on different service state evaluation indexes by utilizing long-term monitoring data measured by the structural health monitoring system when the suspender is in a normal service state, and evaluating the service state of the rigid suspender of the high-speed railway arch bridge from different angles; considering the influence of temperature and environmental wind on the evaluation index of a certain service state of the suspender, two methods for establishing a standard service state sub-library of the rigid suspender are provided: when the standard service state sub-library of the suspender is established according to the first method, the influence of the reserved temperature on the service state evaluation index of the suspender is eliminated, and when the standard service state sub-library of the suspender is established according to the second method, the influence of the temperature and the environmental wind on the service state evaluation index of the suspender is eliminated; the two establishing methods comprise the following steps:
the first establishing method of the suspender standard service state sublibrary comprises the following steps:
(1) extracting a suspender service state evaluation index and corresponding temperature data based on the long-term monitoring data;
(2) the influence of environmental wind factors is eliminated through setting the ratio of the variable amplitude values;
(3) obtaining a specific value of the evaluation index of the service state of the suspender, which is only influenced by the temperature, and storing the specific value into a standard service state sub-library of the suspender;
the second method for establishing the standard service state sublibrary of the suspender comprises the following steps:
(1) extracting a suspender service state evaluation index and corresponding temperature data based on the long-term monitoring data;
(2) the influence of environmental wind factors is eliminated through setting the ratio of the variable amplitude values;
(3) obtaining a statistical relation of the influence of the temperature on the service state evaluation index of the suspender, and carrying out regression analysis on the statistical relation based on a least square method to obtain a fitting line of the influence of the temperature on the service state evaluation index of the suspender;
(4) and eliminating the trend of the influence of the temperature on the service state evaluation index of the suspender according to the fit line, and storing the service state evaluation index of the suspender after the trend item is removed into a standard service state sub-library of the suspender.
2. The system and the method for quickly warning the abnormal state of the rigid suspender of the high-speed railway arch bridge according to claim 1, wherein the system and the method for quickly warning the abnormal state of the suspender are based on the warning standard of the abnormal service state of the suspender provided by the established standard service state sublibrary of the suspender, and the method comprises the following steps:
step one, determining an early warning envelope line or an early warning threshold line by considering safety margin based on an established standard service state sub-library; the early warning envelope line is an envelope line with safety margin when the standard service state library of the suspender is established by adopting a first establishing method of the standard service state sub-library of the suspender, and is obtained by taking the safety margin into consideration by an outer envelope line of data points in the standard service state library of the suspender; the early warning threshold line is a threshold line with safety margin when the standard service state library of the suspender is established by adopting a second establishing method of the standard service state sub-library of the suspender, and the value of the early warning threshold line is the sum of the maximum absolute value of the data point of the standard service state library and the safety margin;
secondly, calculating the current service state evaluation index value of the corresponding rigid suspender by adopting a method the same as the service state evaluation index in the standard service state library based on the current real-time monitoring data of the high-speed railway arch bridge structure to be measured;
step three, comparing the current service state evaluation index value with a corresponding early warning envelope line or a threshold line, and if the data point of the current service state evaluation index value falls outside the early warning envelope line or the current service state evaluation index value is larger than the early warning threshold value, judging that the rigid suspender is in an abnormal service state;
and step four, once the hanger rod is found to be in an abnormal state, automatically starting the quick early warning subsystem to call the early warning module, and immediately warning by adopting a method of starting a warning lamp, dialing an alarm call to a mobile phone of a manager or sending an alarm short message, so that the manager is ensured to find the abnormal hanger rod in time and take treatment measures according to the situation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710360603.6A CN107220755B (en) | 2017-05-23 | 2017-05-23 | Rapid early warning system and method for abnormal state of rigid hanger of high-speed rail arch bridge |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710360603.6A CN107220755B (en) | 2017-05-23 | 2017-05-23 | Rapid early warning system and method for abnormal state of rigid hanger of high-speed rail arch bridge |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107220755A CN107220755A (en) | 2017-09-29 |
| CN107220755B true CN107220755B (en) | 2020-05-19 |
Family
ID=59945557
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710360603.6A Active CN107220755B (en) | 2017-05-23 | 2017-05-23 | Rapid early warning system and method for abnormal state of rigid hanger of high-speed rail arch bridge |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107220755B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108898292B (en) * | 2018-06-14 | 2022-04-01 | 合肥泽众城市智能科技有限公司 | Safety assessment method for bridge health state |
| CN111130549B (en) * | 2020-02-14 | 2020-09-22 | 山东博远重工有限公司 | Bridge template on-site intelligent monitoring system and method |
| CN113657041B (en) * | 2021-08-25 | 2024-11-08 | 哈尔滨工业大学 | An intelligent perception and prediction system for the physical and mechanical state of roadbed in high-cold areas |
| CN114997759B (en) * | 2022-08-05 | 2022-10-14 | 江苏富泊新材料有限公司 | Heat supply pipeline support and hanger stability early warning method and system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2415005A (en) * | 2004-06-08 | 2005-12-14 | Thomas John Upstone | Suspension bridge cables |
| CN103049480A (en) * | 2012-11-27 | 2013-04-17 | 浙江工业职业技术学院 | Set of management and maintenance system for monitoring clusters of urban major transportation infrastructures |
| CN204212044U (en) * | 2014-11-05 | 2015-03-18 | 中交第一公路勘察设计研究院有限公司 | A kind of without longeron half-through arch bridge safe early warning girder construction |
| CN106525129A (en) * | 2016-11-21 | 2017-03-22 | 深圳市道桥维修中心桥梁检测站 | Intelligent bridge monitoring system based on multi-source detection fusion means |
-
2017
- 2017-05-23 CN CN201710360603.6A patent/CN107220755B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2415005A (en) * | 2004-06-08 | 2005-12-14 | Thomas John Upstone | Suspension bridge cables |
| CN103049480A (en) * | 2012-11-27 | 2013-04-17 | 浙江工业职业技术学院 | Set of management and maintenance system for monitoring clusters of urban major transportation infrastructures |
| CN204212044U (en) * | 2014-11-05 | 2015-03-18 | 中交第一公路勘察设计研究院有限公司 | A kind of without longeron half-through arch bridge safe early warning girder construction |
| CN106525129A (en) * | 2016-11-21 | 2017-03-22 | 深圳市道桥维修中心桥梁检测站 | Intelligent bridge monitoring system based on multi-source detection fusion means |
Non-Patent Citations (3)
| Title |
|---|
| 《大跨斜拱桥结构健康监测系统的设计与研发》;田亮;《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》;20150710;全文 * |
| 《拱桥吊杆损伤监测与健康诊断》;李冬生;《中国博士学位论文全文数据库工程科技Ⅱ辑》;20090110;全文 * |
| 《高速铁路大型桥梁结构健康监测与状态评估研究》;魏召兰;《中国博士学位论文全文数据库工程科技Ⅱ辑》;20131010;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107220755A (en) | 2017-09-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107220755B (en) | Rapid early warning system and method for abnormal state of rigid hanger of high-speed rail arch bridge | |
| CN114005278B (en) | Intelligent monitoring and early warning system and method for highway infrastructure group | |
| CN105241660A (en) | High-speed rail large-scale bridge performance evaluation method based on health monitoring data | |
| CN201508484U (en) | A bridge intelligent monitoring system | |
| CN201943686U (en) | Real-time early warning system for oil well fault | |
| CN105760934A (en) | Bridge abnormity monitoring restoration method based on wavelet and BP neural network | |
| CN106441530A (en) | Bridge dynamic weighing method based on long-gauge fiber grating sensing technology and dynamic weighing system thereof | |
| CN101615341A (en) | A bridge intelligent monitoring method based on traffic flow control | |
| CN105923014B (en) | A kind of track transition Amplitude Estimation method based on evidential reasoning rule | |
| CN111591319B (en) | Track condition dynamic monitoring method for high-speed railway | |
| CN111845842A (en) | Track monitoring system and monitoring method thereof | |
| CN113740063B (en) | Train bearing monitoring and early warning method and system | |
| CN104264589A (en) | Real-time monitoring method for hanging basket states | |
| CN108229022A (en) | Real-time method of the temperature to high frequency sampling Index Influence is rejected in a kind of bridge structure on-line monitoring | |
| CN113465953B (en) | Fault prediction and health management device for motor train unit transmission system and using method thereof | |
| CN104764622A (en) | Bridge state detection device and detection method | |
| CN112550369A (en) | Switch application on-line state monitoring system | |
| CN107776606B (en) | Fault detection method for shaft temperature monitoring system | |
| CN202245796U (en) | Large-scale bridge type hoisting machinery metal structure safety monitoring device based on wireless network | |
| CN111780809A (en) | Method and system for monitoring and early warning of temperature and vibration of rail vehicle parts | |
| CN114812984A (en) | A mobile fast monitoring system for railway bridges | |
| CN114441120A (en) | Rapid evaluation and damage identification method for high-speed railway bridge rigidity under train load | |
| CN117315897A (en) | Threshold setting method based on structural characteristics of underlaying type beam-arch combined bridge | |
| CN103472774B (en) | A kind of electric power tunnel real-time monitoring system and method | |
| CN110987499A (en) | Bridge dynamic load test method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |